Is there any limit to index the document?

Yes, there is a limit to document indexing within RChilli’s services, particularly in the context of the Search & Match API, where documents are temporarily indexed for matching purposes. Here's a detailed breakdown:

📌 1. Parsing vs. Indexing Limits

• Resume Parser API:
  There is no long-term storage or indexing. RChilli does not store data parsed via the Resume Parser API. Parsed data is delivered in real-time as a response, and it's the client’s responsibility to store it if needed.

• Search and Match API:
  Documents are indexed temporarily in a secure environment. These indexed documents are used for advanced matching and searching features.

📦 2. Indexing Capacity & Management

• While there is no explicit public document stating the maximum number of documents that can be indexed, indexing large volumes is fully supported as RChilli is designed to scale.

• However, indexed documents are not permanent and can be manually deleted using the DeleteAllDocuments API when needed:

  • Delete All Documents API – RChilli.

🔐 3. Data Security & Region-Based Indexing

• Indexing is region-specific (e.g., US, EU, SG), meaning data is stored securely in the selected region’s infrastructure.

• Users can select the data center during setup for optimal performance based on location.

🧩 4. Combined Operations

• If you wish to parse and index at the same time, RChilli offers the ParseAndIndex API, allowing both actions in one call.

  • Parsed data is not stored unless explicitly indexed.

  • For searchability, indexing is mandatory.

✅ Best Practice

If you need to manage large-scale indexing:

• Use the bulk parsing and indexing capabilities.

• Regularly clean your index using the delete APIs to maintain performance.

• Reach out to support@rchilli.com if you expect unusually large volumes and need performance tuning or scaling advice.